Opens in a new tab

AES E-Library

← Back to search

Journal Article Open Access

Object-Based Six-Degrees-of-Freedom Rendering of Sound Scenes Captured with Multiple Ambisonic Receivers

Authors: McCormack, Leo; Politis, Archontis; McKenzie, Thomas; Hold, Christoph; Pulkki, Ville

Journal of the Audio Engineering Society · Volume 70 · Issue 5 · pp. 355–372 · May 2022

Abstract

This article proposes a system for object-based six-degrees-of-freedom (6DoF) rendering of spatial sound scenes that are captured using a distributed arrangement of multiple Ambisonic receivers. The approach is based on first identifying and tracking the positions of sound sources within the scene, followed by the isolation of their signals through the use of beamformers. These sound objects are subsequently spatialized over the target playback setup, with respect to both the head orientation and position of the listener. The diffuse ambience of the scene is rendered separately by first spatially subtracting the source signals from the receivers located nearest to the listener position. The resultant residual Ambisonic signals are then spatialized, decorrelated, and summed together with suitable interpolation weights. The proposed system is evaluated through an in situ listening test conducted in 6DoF virtual reality,whereby real-world sound sources are compared with the auralization achieved through the proposed rendering method. The results of 15 participants suggest that in comparison to a linear interpolation-based alternative, the proposed object-based approach is perceived as being more realistic.

Details

Publication
Journal of the Audio Engineering Society
Volume
70
Issue
5
Pages
355–372
Publication date
May 6, 2022
Affiliation
Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland; Department of Information Technology and Communication Sciences, Tampere University, Finland; Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland; Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland; Department of Signal Processing and Acoustics, Aalto University, Espoo, Finland (See document for exact affiliation information.)
Type
Journal Article